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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2021.772856</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Nuchal Skinfold Thickness in Pediatric Brain Tumor Patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Junxiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1572475"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Boekhoff</surname>
<given-names>Svenja</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1009092"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eveslage</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bison</surname>
<given-names>Brigitte</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sowithayasakul</surname>
<given-names>Panjarat</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Friedrich</surname>
<given-names>Carsten</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>M&#xfc;ller</surname>
<given-names>Hermann L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pediatrics and Pediatric Hematology/Oncology, University Children&#x2019;s Hospital, Klinikum Oldenburg A&#xf6;R, Carl von Ossietzky University</institution>, <addr-line>Oldenburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Neurosurgery, Nanfang Hospital, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Biostatistics and Clinical Research, University of M&#xfc;nster</institution>, <addr-line>M&#xfc;nster</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Neuroradiology, University Hospital</institution>, <addr-line>W&#xfc;rzburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pediatrics, Faculty of Medicine, Srinakharinwirot University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Wen Zhou, Case Western Reserve University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Madarina Julia, Gadjah Mada University, Indonesia; Luiz Augusto Casulari, University of Brasilia, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">    <p>*Correspondence: Hermann L. M&#xfc;ller, <email xlink:href="mailto:mueller.hermann@klinikum-oldenburg.de">mueller.hermann@klinikum-oldenburg.de</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Endocrinology, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>772856</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Peng, Boekhoff, Eveslage, Bison, Sowithayasakul, Friedrich and M&#xfc;ller</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Peng, Boekhoff, Eveslage, Bison, Sowithayasakul, Friedrich and M&#xfc;ller</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Severe obesity and tumor relapse/progression have impact on long-term prognosis in pediatric brain tumor patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>In a cross-sectional study, we analyzed nuchal skinfold thickness (NST) on magnetic-resonance imaging (MRI) follow-up monitoring as a parameter for assessment of nuchal adipose tissue in 177 brain tumor patients (40 World Health Organization (WHO) grade 1&#x2013;2 brain tumor; 31 grade 3&#x2013;4 brain tumor; 106 craniopharyngioma), and 53 healthy controls. Furthermore, body mass index (BMI), waist-to-height ratio, caliper-measured skinfold thickness, and blood pressure were analyzed for association with NST.</p>
</sec>
<sec>
<title>Results</title>
<p>Craniopharyngioma patients showed higher NST, BMI, waist-to-height ratio, and caliper-measured skinfold thickness when compared to other brain tumors and healthy controls. WHO grade 1&#x2013;2 brain tumor patients were observed with higher BMI, waist circumference and triceps caliper-measured skinfold thickness when compared to WHO grade 3&#x2013;4 brain tumor patients. NST correlated with BMI, waist-to-height ratio, and caliper-measured skinfold thickness. NST, BMI and waist-to-height ratio were associated with increased blood pressure. In craniopharyngioma patients with hypothalamic involvement/lesion or gross-total resection, rate and degree of obesity were increased.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>NST could serve as a novel useful marker for regional nuchal adipose tissue. NST is highly associated with body mass and waist-to-height ratio, and easily measurable in routine MRI monitoring of brain tumor patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>craniopharyngioma</kwd>
<kwd>obesity</kwd>
<kwd>pediatric brain tumor</kwd>
<kwd>hypothalamic involvement</kwd>
<kwd>skinfold thickness</kwd>
</kwd-group>
<contract-sponsor id="cn001">Deutsche Kinderkrebsstiftung<named-content content-type="fundref-id">10.13039/501100007311</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="12"/>
<word-count count="5667"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Recent reports suggest that survivors of pediatric brain tumor are at increased risk of cardiovascular disease (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). As obesity is a well-known risk factor for the development of cardiovascular disease in the general population, this might provide a potential explanation of the added cardiometabolic risk in survivors of pediatric brain tumor (<xref ref-type="bibr" rid="B5">5</xref>). However, when obesity rates are analyzed based on body mass index (BMI), pediatric brain tumor patients are observed to have BMI levels similar to the general population, which is not likely to explain the observed increased risk of cardiovascular disease in pediatric brain tumor survivors (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Furthermore, as BMI is simply a measure of mass, standardized by height, it does not detail the type of the tissue present in a body. For example individuals with above-average lean (muscle) mass are frequently classified as overweight/obese, irrespective of their level of adiposity. Accordingly, more scientifically valid means of assessing body composition are available such as Dual X-ray Absorptiometry (DXA) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Childhood-onset craniopharyngiomas are rare malformations of embryonal origin with low-grade histological malignancy [World Health Organization (WHO) grade 1] located in the sellar/parasellar area and frequently affecting hypothalamus, pituitary gland and optic chiasm (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Tumor- and/or treatment-related damage to these anatomical areas result in reduced physical and psychosocial function (<xref ref-type="bibr" rid="B13">13</xref>), which includes clinically severe neuroendocrine adverse effects, mainly hypothalamic obesity, with adverse influence on quality of survival after craniopharyngioma (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). When compared with the general population, craniopharyngioma patients have a 3&#x2013;19 fold higher cardiovascular mortality (<xref ref-type="bibr" rid="B17">17</xref>). In patients initially presenting with hypothalamic involvement of craniopharyngioma, the 20-years overall survival is reduced (<xref ref-type="bibr" rid="B13">13</xref>). Regular monitoring by cranial MRI to exclude recurrences are important parts of follow-up care (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>As an important link between cardiovascular disease and obesity, regional distribution of fat in distinct compartments rather than overall obesity has been postulated. In contrast to subcutaneous adipose tissue, visceral adipose tissue is known as a fat depot, conferring metabolic risk of type 2 diabetes and atherosclerosis above and beyond standard auxiological parameters, such as waist circumference and body mass index (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). Upper-body subcutaneous fat, as estimated by neck circumference, may confer risk above and beyond visceral abdominal fat. Serum concentrations of free fatty acid are mainly determined by the upper-body subcutaneous fat compartment, indicating that this compartment plays an important role as specific risk factor for cardiovascular disease (<xref ref-type="bibr" rid="B22">22</xref>). We could previously show that nuchal skinfold thickness (NST) &#x2013; as assessed in MRI of craniopharyngioma patients &#x2013; serves as a predictor of metabolic risk above and beyond waist circumference and BMI in craniopharyngioma patients (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>In the present study, we analyzed NST as a potential new parameter for assessment of nuchal adipose tissue and its associations with other conventional parameters for assessment of body mass and adipose tissue in long-term survivors of pediatric brain tumor.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Patients</title>
<p>In our single-center, cross-sectional study (University Children&#x2019;s Hospital, Klinikum Oldenburg A&#xf6;R, Germany), 177 pediatric brain tumor patients (106 craniopharyngiomas, 40 WHO grade 1&#x2013;2 brain tumors; 31 WHO grade 3&#x2013;4 brain tumors), recruited and longitudinally evaluated in prospective multicenter trials of the German Pediatric Brain Tumor Network (SIOP low grade glioma study &#x2013;LGG, SIOP high grade glioma study &#x2013; HGG; SIOP germ cell tumor study &#x2013; GCT; SIOP primitive neuroectodermal study &#x2013; PNET; SIOP choroid plexus tumors study &#x2013; CPT Registry; KRANIOPHARYNGEOM 2000/2007) were analyzed for body height, body mass, BMI standard deviation score (SDS), and NST after a median follow-up of 2.4 years (range: 0.1&#x2013;29.6 years) (<xref ref-type="bibr" rid="B28">28</xref>). Histological diagnoses of brain tumors and the world health organization (WHO) grading of malignancy were confirmed by neuropathological reference-assessment in all cases as part of recruitment in one of the above mentioned German brain tumor studies. The definitions of different degrees of histological malignancy (WHO grade 1-4) are based on the specific WHO criteria published for each tumor entity (<xref ref-type="bibr" rid="B29">29</xref>). Hypothalamic involvement and hypothalamic surgical lesions of craniopharyngioma were graded based on pre and postoperative MRI as previously described (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The control group consisted of 53 pediatric patients with normal MRI findings. In healthy controls, cranial MRIs were performed in order to exclude intracranial pathologies underlying headaches.</p>
<p>In 53 of 106 craniopharyngioma patients (50%), 59 of 71 brain tumor patients (83%) and 42 of 53 healthy controls (79%), associations between NST and BMI, waist-to-height ratio, caliper-measured skinfold thickness (biceps, triceps, abdominal, subscapular), and blood pressure as risk factors for cardiovascular disease could be analyzed based on complete data for all parameters. The application of anti-hypertensive medication was not assessed in all patients.</p>
</sec>
<sec id="s2_2">
<title>Assessment of MRI and Anthropometric Parameters</title>
<p>NST was quantified on T1-weighted cranial MRI images of the midline performed on 1.5 Tesla MRI scanners according to a standardized procedure. First, a line was drawn crossing the two anatomically defined points: basion (anterior margin of the foramen magnum) and opisthion (posterior margin of the foramen magnum). The diameter of subcutaneous nuchal fat was measured over this line to the nearest 0.01 cm using OsiriX (Pixmeo SARL, Switzerland). Arithmetic mean of NST as measured in triplicate by three independent persons was analyzed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Nuchal skinfold thickness (NST) is shown on T2-weighted sagittal cranial magnetic resonance imaging (MRI) of the midline. NST was quantified according to the following standardized assessment: First a line was drawn crossing the two anatomically defined points: basion (anterior margin of the foramen magnum, indicated by arrow) and opisthion (posterior margin of the foramen magnum, indicated by arrow). The diameter of subcutaneous nuchal fat was measured over this line to the nearest 0.01 cm using OsiriX (Pixmeo SARL, Switzerland). <bold>(A)</bold> shows NST in a childhood-onset craniopharyngioma patient with severe obesity due to hypothalamic involvement [hypothalamic involvement grade II (<xref ref-type="bibr" rid="B13">13</xref>), body mass index (BMI): +4.86 SDS (<xref ref-type="bibr" rid="B32">32</xref>)]. <bold>(B)</bold> shows NST in a patient with low-grade glioma of the brain stem, BMI: +0.48 SDS. <bold>(C)</bold> shows NST in a healthy, normal-weight control [BMI: +0.41 SDS (<xref ref-type="bibr" rid="B32">32</xref>)]. SDS, standard deviation score. The inter-rater reliability of the used arithmetic mean of NST was 0.982.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-772856-g001.tif"/>
</fig>
<p>Measurements of skinfold thickness at defined abdominal, subscapular, biceps and triceps areas were performed by the same person on the right side of the body using a Harpenden caliper and recorded to the nearest 0.1 cm. Waist circumferences were measured at the end of gentle expiration midway between the top of the iliac crest and the lowest rib. Waist circumference was measured over naked skin and noted to the nearest 0.1 cm. Body height was measured in triplicate using a Harpenden stadiometer and the median of three measurements was calculated as height SDS according to the Prader et al. references (<xref ref-type="bibr" rid="B33">33</xref>). Patients and healthy controls wearing underwear only were weighed on calibrated electronic step-scales. Body composition and the degree of obesity were evaluated by calculating the BMI SDS according to the references of Rolland-Cachera et al. (<xref ref-type="bibr" rid="B32">32</xref>). Systolic and diastolic blood pressure (mm Hg) were measured in seated position after resting for 15 minutes using an automatic sphygmomanometer.</p>
</sec>
<sec id="s2_3">
<title>Statistical Analyses</title>
<p>Statistical analyses were performed with SPSS 23 for Windows (IBM Corporation, Somers, NY, USA). The intraclass correlation coefficient (ICC) was used to assess the inter-rater agreement of the NST measurements of the three raters. Groups were compared using Student&#x2019;s t-test for normally distributed data, the Mann-Whitney U-test for non-normal data and Fisher&#x2019;s exact tests for categorical variables. The normality assumption was verified graphically. Correlation was calculated with the Pearson correlation coefficient and corresponding 95% confidence intervals (CI). Univariate and multivariate logistic regression were applied. A stepwise selection process was used, keeping only variables with p &#x2264; 0.05 in the final model. Results of logistic regression are presented as odds ratio (OD) and corresponding 95%CI. All inferential statistics are intended to be exploratory (hypotheses generating), not confirmatory, and are interpreted accordingly. Therefore, no adjustment for multiple testing was applied.</p>
</sec>
<sec id="s2_4">
<title>Ethics Approval</title>
<p>All procedures performed in our study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The studies KRANIOPHARYNGEOM 2000 (Clinical trial registration number: NCT00258453) and KRANIOPHARYNGEOM 2007 (Clinical trial registration number: NCT01272622) were approved by the local standing-committee on ethical practice of the Medizinische Fakult&#xe4;t, Julius-Maximilians-Universit&#xe4;t W&#xfc;rzburg, Germany (140/99; 94/06, respectively). The current trial was approved by the local ethical committee of the Carl von Ossietzky University Oldenburg, Germany (14. January 2016; 005/2016). Written informed parental (legal guardian) and/or patient consent was obtained in all cases.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Characteristics of Patient Cohorts and Healthy Controls</title>
<p>One hundred and six (60 female/46 male) of 698 childhood-onset craniopharyngioma patients (344 female/354 male) recruited in the German Childhood-onset Craniopharyngioma Registry with longitudinal follow-up in the prospective trials KRANIOPHARYNGEOM 2000 and KRANIOPHARYNGEOM 2007 were included in our study. 592 craniopharyngioma patients were excluded because one or more of the following inclusion criteria were not fulfilled: sagittal MRI of sufficient technical quality for assessment of NST, and height and weight measured within three months before or after MRI. Forty patients with brain tumor of different histology and reference-confirmed WHO grade 1 or 2 malignancy (26 low-grade glioma, 7 pituitary adenomas, 7 other histologies) and 31 patients with reference-confirmed WHO grade 3 or 4 malignancies (9 supratentorial tumors, 22 infratentorial tumors) including: 2 astrocytoma, 3 germinoma, 2 glioblastoma, 1 plexuscarcinoma, 10 medulloblastoma, 9 ependymoma, 3 diffuse intrinsic pontine glioma, 1 primitive neuroectodermal tumor (PNET) were also included in our study. Fifty-three children and adolescents (30 female/23 male) with normal cranial MRI findings, who fulfilled the above-mentioned inclusion criteria, served as healthy controls.</p>
</sec>
<sec id="s3_2">
<title>Auxiological Parameters Compared Between Patient Cohorts and Healthy Controls</title>
<p>Childhood-onset craniopharyngioma patients were older at the time of study and presented with higher BMI SDS, NST, waist circumference, waist-to-height ratio, and caliper-measured skinfold thickness at the time of study when compared with healthy controls and patients with a brain tumor of different histology. Patients with a brain tumor of WHO grade 1 or 2 presented with higher BMI SDS, NST, waist circumference and triceps caliper-measured skinfold thickness at the time of the study when compared with WHO grade 3 or 4 brain tumor patients (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). With an ICC of 0.935 [95% CI (0.920; 0.948)] a good inter-rater agreement of NST measurements was observed.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the groups of patients (106 childhood-onset craniopharyngioma, 71 childhood brain tumor patients) and 53 healthy controls and the subgroups of patients (53 craniopharyngioma, 59 brain tumor patients) and 42 healthy controls, who could be analyzed for further parameters (waist circumference, waist-to-height ratio, caliper-measured skinfold thickness) and blood pressure (systolic and diastolic).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Patients characteristics </th>
<th valign="top" align="center">Craniopharyngioma</th>
<th valign="top" align="center">Brain tumor</th>
<th valign="top" align="center">Healthy controls</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Total group (n)</bold>
</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gender (female / male)</bold>
</td>
<td valign="top" align="center">60 / 46</td>
<td valign="top" align="center">28 / 43</td>
<td valign="top" align="center">30 / 23</td>
<td valign="top" align="center">0.075</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at BT diagnosis (years)</bold>
</td>
<td valign="top" align="center">9.4 (1.3 &#x2013; 20.5)</td>
<td valign="top" align="center">7.8 (0.1 &#x2013; 17.2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.515</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at study (years)</bold>
</td>
<td valign="top" align="center">16.0 (2.3 &#x2013; 39.0)</td>
<td valign="top" align="center">13.0 (1.5 &#x2013; 21.0)</td>
<td valign="top" align="center">11.0 (3.0 &#x2013; 18.0)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Follow-up (years)</bold>
</td>
<td valign="top" align="center">2.20 (0.01 &#x2013; 29.59)</td>
<td valign="top" align="center">2.80 (0.01 &#x2013;14.32)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.728</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI at study (SDS)</bold>
</td>
<td valign="top" align="center">2.70 (-4.41 &#x2013; 11.85)</td>
<td valign="top" align="center">0.49 (-2.87 &#x2013; 14.29)</td>
<td valign="top" align="center">0.31 (-2.41 &#x2013; 12.20)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Height at study (SDS)</bold>
</td>
<td valign="top" align="center">-0.41 (-4.9 &#x2013; 82)</td>
<td valign="top" align="center">0.14 (-3.74 &#x2013; 3.28)</td>
<td valign="top" align="center">-0.10 (-3.99 &#x2013; 3.67)</td>
<td valign="top" align="center">0.030</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nuchal skinfold (cm)</bold>
</td>
<td valign="top" align="center">1.03 (0.51 &#x2013; 2.74)</td>
<td valign="top" align="center">0.61 (0.25 &#x2013; 1.59)</td>
<td valign="top" align="center">0.64 (0.31 &#x2013; 2.17)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertension, n (%)</bold>
</td>
<td valign="top" align="center">25 (24)</td>
<td valign="top" align="center">18 (25)</td>
<td valign="top" align="center">15 (28)</td>
<td valign="top" align="center">0.980</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Subgroups (n)</bold>
</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gender (female / male)</bold>
</td>
<td valign="top" align="center">33 / 20</td>
<td valign="top" align="center">22 / 37</td>
<td valign="top" align="center">26 / 16</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at BT diagnosis (years)</bold>
</td>
<td valign="top" align="center">9.5 (1.3 &#x2013; 20.5)</td>
<td valign="top" align="center">7.4 (0.1 &#x2013; 17.2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.473</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at study (years)</bold>
</td>
<td valign="top" align="center">19.0 (2.3 &#x2013; 35.0)</td>
<td valign="top" align="center">12.9 (1.5 &#x2013; 18.0)</td>
<td valign="top" align="center">11.0 (3.0 &#x2013; 17.7)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI at study (SDS)</bold>
</td>
<td valign="top" align="center">4.86 (-1.57 &#x2013; 11.85)</td>
<td valign="top" align="center">0.44 (-2.14 &#x2013; 14.29)</td>
<td valign="top" align="center">0.45 (-2.41 &#x2013; 8.08)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Height at Study (SDS)</bold>
</td>
<td valign="top" align="center">-0.10 (-3.37 &#x2013; 2.64)</td>
<td valign="top" align="center">0.22 (-3.74 &#x2013; 3.28)</td>
<td valign="top" align="center">0.06 (-2.93 &#x2013; 3.67)</td>
<td valign="top" align="center">0.103</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Waist circumference (cm)</bold>
</td>
<td valign="top" align="center">109.0 (51.0 &#x2013; 175.0)</td>
<td valign="top" align="center">84.0 (45.0 &#x2013; 115.0)</td>
<td valign="top" align="center">81.5 (51.0 &#x2013; 126.0)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Waist-to-height ratio</bold>
</td>
<td valign="top" align="center">0.59 (0.38 &#x2013; 0.91)</td>
<td valign="top" align="center">0.46 (0.37 &#x2013; 0.69)</td>
<td valign="top" align="center">0.45 (0.35 &#x2013; 0.70)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nuchal skinfold (cm)</bold>
</td>
<td valign="top" align="center">1.07 (0.51 &#x2013; 2.74)</td>
<td valign="top" align="center">0.62 (0.25 &#x2013; 1.59)</td>
<td valign="top" align="center">0.67 (0.32 &#x2013; 1.98)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Skinfolds (cm)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;abdominal</bold>
</td>
<td valign="top" align="center">4.20 (0.40 &#x2013; 6.30)</td>
<td valign="top" align="center">2.10 (0.30 &#x2013; 5.60)</td>
<td valign="top" align="center">1.50 (0.30 &#x2013; 5.80)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;subscapular</bold>
</td>
<td valign="top" align="center">3.90 (0.90 &#x2013; 6.50)</td>
<td valign="top" align="center">1.40 (0.40 &#x2013; 4.80)</td>
<td valign="top" align="center">1.10 (0.40 &#x2013; 5.20)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;biceps</bold>
</td>
<td valign="top" align="center">2.50 (0.50 &#x2013; 6.00)</td>
<td valign="top" align="center">1.00 (0.20 &#x2013; 3.80)</td>
<td valign="top" align="center">0.90 (0.30 &#x2013; 2.80)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;triceps</bold>
</td>
<td valign="top" align="center">3.10 (0.90 &#x2013; 6.00)</td>
<td valign="top" align="center">1.60 (0.50 &#x2013; 4.80)</td>
<td valign="top" align="center">1.45 (0.60 &#x2013; 4.30)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>RR systolic (mm HG)</bold>
</td>
<td valign="top" align="center">128 (99 &#x2013; 176)</td>
<td valign="top" align="center">118 (80 &#x2013; 171)</td>
<td valign="top" align="center">118 (87 &#x2013; 167)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>RR diastolic (mm HG)</bold>
</td>
<td valign="top" align="center">82 (54 &#x2013; 143)</td>
<td valign="top" align="center">72 (47 &#x2013; 110)</td>
<td valign="top" align="center">74 (50 &#x2013; 104)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertension, n (%)</bold>
</td>
<td valign="top" align="center">20 (38)</td>
<td valign="top" align="center">16 (27)</td>
<td valign="top" align="center">13 (31)</td>
<td valign="top" align="center">0.487</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BT-Normal Controls: BMI SDS p=0.750 (total group); BT-Normal Controls: BMI SDS p=0.962 (Subgroups).</p>
</fn>
<fn>
<p>Shown are median and (ranges). BMI, body mass index, BT, brain tumor; RR, blood pressure; mm HG, millimeter mercury; SDS, standard deviation score; at study means &#x201c;at the time of cranial MRI&#x201d;.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Patients&#x2019; characteristics in childhood brain tumor (BT) patients with regard to histological grade of malignancy according to WHO grading system (grade 1 to 4).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Patients characteristics</th>
<th valign="top" align="center">Grade 1-2 BT</th>
<th valign="top" align="center">Grade 3-4 BT</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Total group (n)</bold>
</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gender (female / male)</bold>
</td>
<td valign="top" align="center">18 / 22</td>
<td valign="top" align="center">10 / 21</td>
<td valign="top" align="center">0.332</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at BT diagnosis (years)</bold>
</td>
<td valign="top" align="center">8.0 (0.5 &#x2013; 17.2)</td>
<td valign="top" align="center">7.7 (0.1 &#x2013; 17.0)</td>
<td valign="top" align="center">0.692</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at study (years)</bold>
</td>
<td valign="top" align="center">13.1 (2.0 &#x2013; 21.0)</td>
<td valign="top" align="center">13.0 (1.5 &#x2013; 19.0)</td>
<td valign="top" align="center">0.719</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI at study (SDS)</bold>
</td>
<td valign="top" align="center">+1.04 (-2.87 &#x2013; 14.29)</td>
<td valign="top" align="center">-0.01 (-2.14 &#x2013; 4.62)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Height at study (SDS)</bold>
</td>
<td valign="top" align="center">0.60 (-3.74 &#x2013; 3.28)</td>
<td valign="top" align="center">-0.30 (-2.98 &#x2013; 2.11)</td>
<td valign="top" align="center">0.173</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nuchal skinfold (cm)</bold>
</td>
<td valign="top" align="center">0.66 (0.34 &#x2013; 1.59)</td>
<td valign="top" align="center">0.58 (0.25 &#x2013; 1.10)</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertension, n (%)</bold>
</td>
<td valign="top" align="center">13 (33)</td>
<td valign="top" align="center">5 (16)</td>
<td valign="top" align="center">0.105</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Subgroups (n)</bold>
</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gender (female / male)</bold>
</td>
<td valign="top" align="center">14 / 18</td>
<td valign="top" align="center">8 / 19</td>
<td valign="top" align="center">0.293</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at BT diagnosis (years)</bold>
</td>
<td valign="top" align="center">7.9 (0.5 &#x2013; 17.2)</td>
<td valign="top" align="center">7.2 (0.1 &#x2013; 16.5)</td>
<td valign="top" align="center">0.585</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age at study (years)</bold>
</td>
<td valign="top" align="center">12.7 (4.8 &#x2013; 18.0)</td>
<td valign="top" align="center">13.0 (1.5 &#x2013; 18.0)</td>
<td valign="top" align="center">0.796</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI at study (SDS)</bold>
</td>
<td valign="top" align="center">1.21 (-1.13 &#x2013; 14.29)</td>
<td valign="top" align="center">-0.11 (-2.14 &#x2013; 4.62)</td>
<td valign="top" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Height at study (SDS)</bold>
</td>
<td valign="top" align="center">0.72 (-3.74 &#x2013; 3.28)</td>
<td valign="top" align="center">-0.30 (-2.98 &#x2013; 2.11)</td>
<td valign="top" align="center">0.079</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Waist circumference (cm)</bold>
</td>
<td valign="top" align="center">87.0 (55.0 &#x2013; 115.0)</td>
<td valign="top" align="center">75.5 (45.0 &#x2013; 107.0)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Waist-to-height ratio</bold>
</td>
<td valign="top" align="center">0.47 (0.37 &#x2013; 0.69)</td>
<td valign="top" align="center">0.44 (0.37 &#x2013; 0.60)</td>
<td valign="top" align="center">0.639</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nuchal skinfold (cm)</bold>
</td>
<td valign="top" align="center">0.65 (0.34 &#x2013; 1.59)</td>
<td valign="top" align="center">0.52 (0.25 &#x2013; 1.10)</td>
<td valign="top" align="center">0.169</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Skinfolds-caliper (cm)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;abdominal</bold>
</td>
<td valign="top" align="center">1.60 (0.30 &#x2013; 5.50)</td>
<td valign="top" align="center">1.30 (0.60 &#x2013; 5.60)</td>
<td valign="top" align="center">0.090</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;subscapular</bold>
</td>
<td valign="top" align="center">1.60 (0.40 &#x2013; 4.80)</td>
<td valign="top" align="center">1.30 (0.50 &#x2013; 4.00)</td>
<td valign="top" align="center">0.242</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;biceps</bold>
</td>
<td valign="top" align="center">1.25 (0.20 &#x2013; 3.40)</td>
<td valign="top" align="center">0.90 (0.40 &#x2013; 3.80)</td>
<td valign="top" align="center">0.220</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;triceps</bold>
</td>
<td valign="top" align="center">2.10 (0.60 &#x2013; 3.80)</td>
<td valign="top" align="center">1.30 (0.50 &#x2013; 4.80)</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>RR systolic (mm HG)</bold>
</td>
<td valign="top" align="center">121 (96 &#x2013; 171)</td>
<td valign="top" align="center">114 (80 &#x2013; 141)</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>RR diastolic (mm HG)</bold>
</td>
<td valign="top" align="center">74 (47 &#x2013; 97)</td>
<td valign="top" align="center">70 (52 &#x2013; 110)</td>
<td valign="top" align="center">0.135</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertension, n (%)</bold>
</td>
<td valign="top" align="center">11 (34)</td>
<td valign="top" align="center">5 (18)</td>
<td valign="top" align="center">0.242</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Shown are median and (ranges). RR, blood pressure; mm HG, millimeter mercury; BT, brain tumor; SDS, standard deviation score; WHO, World Health Organization; at study means &#x201c;at the time of cranial MRI&#x201d;.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>High positive correlations were observed between NST and BMI SDS and NST and waist-to-height ratio: NST <italic>vs</italic>. waist-to-height ratio: r=0.804, 95%CI (0.744&#x2013;0.852); BMI SDS <italic>vs.</italic> waist-to-height ratio: r=0.878, 95%CI (0.839&#x2013;0.909); NST <italic>vs.</italic> BMI SDS: r=0.716, 95%CI (0.645&#x2013;0.774). The results in all patient subgroups and healthy controls are shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. The different ranges of BMI SDS, waist-to-height ratio and NST values lead to differences in correlation coefficients between the subgroups that do not necessarily reflect different underlying associations.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Correlations between nuchal skinfold thickness (NST) as measured (cm) on cranial magnetic resonance (MRI) imaging and body mass index (BMI) SDS (<xref ref-type="bibr" rid="B32">32</xref>) <bold>(A&#x2013;D)</bold>, between NST and waist-to-height ratio <bold>(E&#x2013;H)</bold>, and between BMI SDS and waist-to-height ratio <bold>(I&#x2013;L)</bold> in patients with childhood-onset craniopharyngioma (CP) recruited in HIT Endo and KRANIOPHARYNGEOM 2000/2007 <bold>(A, E, I)</bold>, WHO grade 1 or 2 brain tumor (BT) patients <bold>(B, F, J)</bold>, WHO grade 3 or 4 BT patients <bold>(C, G, K)</bold>, and healthy controls (HC) <bold>(D, H, L)</bold>. r = Pearson correlation coefficient; SDS, standard deviation score.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-772856-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Caliper-Measured Skinfold Thickness</title>
<p>In the subgroups of 53 craniopharyngioma patients, 32 patients with WHO grade 1 or 2 brain tumor, 27 patients with WHO grade 3 or 4 brain tumor, and 42 healthy controls, associations between NST, waist-to-height ratio, caliper-measured skinfold thickness (abdominal, subscapular, biceps, triceps), BMI, and blood pressure could be analyzed (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Also in these subgroups, NST correlated with BMI SDS and waist-to-height ratio: BMI SDS <italic>vs</italic>. NST: r=0.743 95%CI (0.663&#x2013;0.807); BMI SDS <italic>vs</italic>. waist-to-height ratio: r=0.885, 95%CI (0.846&#x2013;0.915); waist-to-height ratio <italic>vs</italic>. NST: r=0.793, 95%CI (0.726&#x2013;0.845). Comparing NST with caliper-measured skinfold thickness, high correlations between NST and all assessed caliper-measured skinfold thicknesses were observed: NST <italic>vs</italic>. abdominal caliper-measured skinfold thickness: r=0.705, 95%CI (0.617&#x2013;0.776); NST <italic>vs</italic>. biceps caliper-measured skinfold thickness: r=0.677, 95%CI (0.583&#x2013;0.753); NST <italic>vs.</italic> triceps caliper-measured skinfold thickness: r=0.733, 95%CI (0.653&#x2013;0.798); NST <italic>vs.</italic> subscapular caliper-measured skinfold thickness: r=0.783, 95%CI (0.715&#x2013;0.837) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Correlations between nuchal skinfold thickness (NST) as measured (cm) on cranial magnetic resonance imaging (MRI) and caliper-measured skinfold thickness for abdominal <bold>(A&#x2013;D)</bold>, subscapular <bold>(E&#x2013;H)</bold>, biceps <bold>(I&#x2013;L)</bold> and triceps <bold>(M&#x2013;P)</bold> skinfold thickness in patients with childhood-onset craniopharyngioma (CP) <bold>(A, E, I, M)</bold>, WHO grade 1 or 2 brain tumor (BT) patients <bold>(B, F, J, N)</bold>, WHO grade 3 or 4 BT patients <bold>(C, G, K, O)</bold>, and healthy controls (HC) <bold>(D, H, L, P)</bold>. r = Pearson correlation coefficient.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-772856-g003.tif"/>
</fig>
<p>The analyses depicted in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> were calculated for all pairwise non-missing observations, therefore the sample sizes may differ between <xref ref-type="table" rid="T1">
<bold>Tables 1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>.</p>
<p>Systolic blood pressure correlated with NST (r=0.327, 95%CI 0.198&#x2013;0.444), BMI SDS (r=0.387; 95%CI 0.263&#x2013;0.497), and waist-to-height ratio (r=0.266; 95%CI 0.119-0.400). Similar results were observed for diastolic blood pressure, showing that also diastolic blood pressure correlated with NST (r=0.400, 95%CI 0.278&#x2013;0.510), BMI SDS (r=0.417, 95%CI 0.297&#x2013;0.524), and waist-to-height ratio (r=0.352; 95%CI 0.212&#x2013;0.478) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Correlations between nuchal skinfold thickness (NST) as measured (cm) on cranial magnetic resonance imaging (MRI) and diastolic <bold>(A&#x2013;D)</bold> and systolic <bold>(E&#x2013;H)</bold> blood pressure (BP) (mm Hg) in patients with childhood-onset craniopharyngioma (CP) <bold>(A, E)</bold>, WHO grade 1 or 2 brain tumor (BT) patients <bold>(B, F)</bold>, WHO grade 3 or 4 BT patients <bold>(C, G)</bold>, and 43 healthy controls (HC) <bold>(D, H)</bold>. r = Pearson correlation coefficient; mm HG, millimeter mercury.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-772856-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Hypothalamic Involvement</title>
<p>Seenty-four of 85 craniopharyngioma patients (87%) with available data presented with hypothalamic involvement of craniopharyngioma at the time of diagnosis, which was associated with obesity. Patients with hypothalamic involvement presented with higher BMI SDS (median BMI: +2.15 SDS, range: -4.41 to +11.85 SDS, p=0.001), higher NST (median NST: 1.02 cm, range: 0.51&#x2013;2.74 cm, p=0.017), and higher waist-to-height ratio (median waist-to-height ratio: 0.58, range: 0.38&#x2013;0.87, p=0.004), when compared to craniopharyngioma patients without hypothalamic involvement (median BMI: -0.31 SDS, range: -1.57 to +3.30 SDS; median NST: 0.77 cm, range: 0.51&#x2013;1.13 cm; median waist-to-height ratio: 0.42, range: 0.39&#x2013;0.44). In our subgroups of brain tumor patients with histological diagnoses different from craniopharyngioma, no cases with hypothalamic involvement were observed.</p>
</sec>
<sec id="s3_5">
<title>Degree of Surgical Resection</title>
<p>Twenty-one of 96 craniopharyngioma patients (22%) were treated by gross-total resection achieving reference-confirmed complete tumor removal. After gross-total resection, patients presented with higher BMI SDS (median BMI: +4.86 SDS, range: -1.57 to +10.54 SDS, p=0.008), NST (median: 1.12 cm, range: 0.51&#x2013;2.74 cm, p=0.305) and waist-to-height ratio (median: 0.65, range: 0.39&#x2013;0.91, p=0.385) at time of study when compared with patients after incomplete resection (median BMI: +1.79 SDS, range: -4.41 to +11.85 SDS; median NST: 1.00 cm, range: 0.54&#x2013;2.39 cm; median waist-to-height ratio: 0.59, range: 0.38&#x2013;0.86).</p>
</sec>
<sec id="s3_6">
<title>Surgical Hypothalamic Lesions</title>
<p>Forty-eight of 87 craniopharyngioma patients (55%) with available data for surgical hypothalamic lesions presented with post-surgical hypothalamic lesions. Patients with hypothalamic lesions presented with higher BMI SDS (median: +3.16 SDS, range: -4.41 to +11.85 SDS, p&lt;0.001), higher NST (median: 1.11 cm, range: 0.54&#x2013;2.74 cm, p&lt;0.001), and waist-to-height ratio (median: 0.64, range: 0.42&#x2013;0.87, p=0.001) when compared to the subgroup of craniopharyngioma patients without hypothalamic lesions (BMI SDS median: +0.87 SDS, range: -2.63 to +11.68 SDS; NST median: 0.91 cm, range: 0.51&#x2013;1.95 cm; waist-to-height ratio median: 0.55, range: 0.38&#x2013;0.86).</p>
</sec>
<sec id="s3_7">
<title>Multivariate Analysis of Risk Factors for Hypertension</title>
<p>In multivariate analyses including 53 craniopharyngioma patients, 59 brain tumor patients and 42 healthy controls, we analyzed which of the anthropometric parameters NST, BMI SDS, waist-to-height ratio, caliper-measured skinfold thickness had potential impact on blood pressure as a risk factor for cardiovascular disease. In all patients and healthy controls, systolic and diastolic blood pressure values were adjusted for age, gender and height and classified as normotensive or hypertensive blood pressure according to a study on waist-to-height ratio and elevated blood pressure (<xref ref-type="bibr" rid="B34">34</xref>). However, antihypertensive medication was not assessed sufficiently in all patients, which might influence our results by potential underestimation of hypertensive cases. When analyzing the total group of 154 participating patients/healthy controls, several parameters such as waist-to-height ratio, caliper-measured skinfold thickness, NST, waist circumference and BMI SDS could be identified as potential risk factors for hypertension in univariable analysis (data not shown). When entering all anthropometric parameters in a multivariable logistic regression analysis and performing stepwise selection, only BMI SDS was selected for the final model resulting in an odds ratio of 1.25, 95%CI (1.14&#x2013;1.37). Of course, this analysis was strongly limited by the small cohort size and also the high correlation of the anthropometric measures.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Metabolic syndrome consisting of insulin resistance and a minimum of two other risk factors from increased BMI, elevated blood pressure, hypertriglyceridemia, low serum HDL-cholesterol, and microalbuminuria, can result in cardiovascular disease. Obese children have an increased risk of metabolic syndrome, due to their large compartment of fat tissue when compared with children with normal body mass (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>). There are several distinct fat tissue compartments (subcutaneous adipose tissue, visceral adipose tissue, white adipose tissue present intramuscularly, and brown adipose tissue commonly found in the supraclavicular and subscapular regions) are known with different metabolic characteristics (<xref ref-type="bibr" rid="B39">39</xref>). Our study was focused on nuchal adipose tissue, which has been described as a risk factor for metabolic syndrome and has a strong association with the risk of cardiovascular disease (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>MRI is the gold standard to quantify compartments of different adipose tissue. However, MRI is an expensive method to be performed for this purpose alone. The value and feasibility of auxiological parameters for risk prediction of metabolic syndrome and cardiovascular disease have been analyzed by several studies. In a study of adults, where the visceral adipose tissue on MRI was used as reference, waist circumference correlated better with visceral adipose tissue than BMI, which seemed to be more associated with total adipose tissue (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). A study of Koren et al. (<xref ref-type="bibr" rid="B42">42</xref>) showed that in adolescents the sagittal abdominal diameter, which represents abdominal thickness at waist level in supine position, was a better predictor of visceral adipose tissue than waist-to-hip ratio, waist circumference, and BMI. Although in adults the waist-to-hip ratio is associated with cardiovascular disease and type 2 diabetes, this association is less clear in the pediatric age group, most likely due to changes in distribution of body fat during growth (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Several studies could show that the ratio of waist circumference to height (waist-to-height ratio) is superior to BMI and waist circumference to predict risks of cardiovascular disease (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>). In a study of adolescents, waist-to-height ratio was associated with BMI SDS and both waist-to-height ratio and BMI had predictive value for arterial hypertension (<xref ref-type="bibr" rid="B34">34</xref>). An advantage of waist-to-height ratio measurement is that waist-to-height ratio does not need adjustment for age: a cut-off value of 0.5 can be used in every age group. This makes waist-to-height ratio usable for comparison in pediatric patients of different age (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>Preis et al. (<xref ref-type="bibr" rid="B23">23</xref>) and Da Silva et al. (<xref ref-type="bibr" rid="B50">50</xref>) reported on neck circumference as a new parameter for prediction of cardiovascular disease risk. Preis et al. (<xref ref-type="bibr" rid="B23">23</xref>) could show that neck circumference was correlated with both BMI and visceral adipose tissue. After adjustment for visceral adipose tissue, the authors observed that neck circumference was positively correlated with blood pressure and risk factors for cardiovascular disease (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Long-term prognosis after pediatric brain tumor disease is frequently impaired by cardiovascular disease (<xref ref-type="bibr" rid="B1">1</xref>). Craniopharyngioma patients have a 3&#x2013;19 fold higher cardiovascular mortality when compared with the general population (<xref ref-type="bibr" rid="B17">17</xref>) due to hypothalamic obesity caused by tumor and/or treatment related hypothalamic lesions (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Incidence of cardiovascular disease is also increased in patients with pediatric brain tumor of other histology. However, when obesity rates of patients with a brain tumor different from craniopharyngioma are measured by using BMI, pediatric brain tumor patients were observed to present with BMI levels that were either close to or slightly higher than BMI in the general population (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). In accordance with previous reports (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>), we also observed no BMI differences between brain tumor patients and healthy controls in our study. However, patients with WHO grade 1&#x2013;2 brain tumor presented with higher BMI when compared with WHO grade 3-4 brain tumor patients, indicating that low histological grade of malignancy and different treatment might have impact on body composition.</p>
<p>In our previous study (<xref ref-type="bibr" rid="B27">27</xref>), analyzing NST on cranial MRIs of craniopharyngioma patients performed during follow-up monitoring, we reported on NST as a new parameter for body composition assessment. We observed that NST was associated with other parameters of body composition such as BMI, caliper-measured skinfold thickness, and waist-to-height ratio. Furthermore, NST had predictive value for cardiovascular disease risk in craniopharyngioma patients and healthy controls.</p>
<p>In this study, we analyzed NST and its associations with the above mentioned anthropometric parameters not only in larger cohorts of craniopharyngioma and healthy controls, but also in pediatric patients with a brain tumor of different histological diagnosis and grades of malignancy. In cross-sectional analyses, NST correlated with the anthropometric parameters BMI and caliper-measured skinfold thickness and was associated with waist-to-height ratio as a known parameter of visceral adipose tissue in all patient groups and in healthy controls. Craniopharyngioma patients with hypothalamic involvement presented with the highest NST. Furthermore, our observations support previous reports (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>) that hypothalamic involvement and hypothalamic lesions are associated with severe obesity in long-term survivors of childhood-onset craniopharyngioma.</p>
<p>The results of our study add to the literature on sequelae after brain tumor disease by reporting on the novel observation that NST is a reliable parameter of nuchal adipose tissue correlating with body mass (BMI SDS, waist-to-height ratio) not only in craniopharyngioma patients but also in patients with a brain tumor of different histology and grade of malignancy. Assessment of NST is easy to perform based on a standardized procedure with high reliability. Limitations of our pilot study are differences with regard to older age of craniopharyngioma patients at the time of study/MRI and the small cohort size of patients with a pediatric brain tumor other than craniopharyngioma, which warrants further analyses of larger age-matched cohorts. A further limitation relates to the fact, that due to the high rate of eating disorders in craniopharyngioma patients fasting blood samples for assessment of other risk factors for cardiovascular disease such as glycemic control or lipid status were not available. Furthermore, assessment of total body adiposity could not be achieved, as no sites on the lower body compartment were assessed. Given that impedance analyses are known to be relatively invalid (from variation due to hydration status and food consumption amongst other factors), standardized procedures for medical imaging such as MRI and dual-energy X-ray absorptiometry (DXA) are preferred for VAT measurement. HOMA-IR and other measures of visceral adiposity (i.e. impedance analyses, abdominal MRI, DXA) could not be evaluated in this study but will be part of future prospective studies in context of the German Craniopharyngioma Registry.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>MRI-based assessment of NST is not recommended as a routine clinical procedure for assessment of nuchal adipose tissue in obese patients. However, as cranial MRI plays an important role in routine follow-up monitoring for early detection of recurrent brain tumor disease, measurement of NST could serve as a reliable, standardized and easily determinable parameter for nuchal adipose tissue during follow-up after brain tumor. Based on the high association of NST with conventional parameters of body mass, NST might be a suitable tool for identifying brain tumor patients at risk of post-treatment obesity. Especially with regard to the difficulties in collecting reliable anthropometric data in the multicenter setting of our national registry, NST on MRI provides a promising alternative. Furthermore, we could demonstrate that pediatric patients with a brain tumor of low histological malignancy (WHO grade 1 or 2) and craniopharyngioma patients with hypothalamic involvement are at special risk for obesity.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets generated or analyzed during this study are available from the corresponding author on reasonable request.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethical committee of the medical faculty of the Carl von Ossietzky University, European Medical School (EMS), Oldenburg, Germany. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>JP researched the data and wrote the manuscript. SB collected the data and prepared statistical analyses, contributed to the analytical plan and discussion and reviewed/edited the manuscript. ME performed all statistical analyses, contributed to the analytical plan and discussion and reviewed/edited the manuscript. BB did neuroradiological assessment of all imaging. BB was the neuroradiologist, who performs reference-assessment of imaging in all patients recruited in KRANIOPHARYNGEOM 2000/2007. She prepared the imaging data and their presentation and reviewed/edited the manuscript. PS, and CF contributed to the analytical plan and discussion and reviewed/edited the manuscript. HM initiated and conducted the multicenter trials KRANIOPHARYNGEOM 2000 and KRANIOPHARYNGEOM 2007, contributed to the analytical plan and discussion and reviewed/edited the manuscript. Assessments of NST were performed in triplicate (by JP, SB, and HM) for each patient.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by grants (HM, DKS2014.13, BB, DKS2018.02) of the German Childhood Cancer Foundation, Bonn, Germany.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>HM has received reimbursement of participation fees for scientific meetings and continuing medical education events from the following companies: Ferring, Lilly, Pfizer, Sandoz/Hexal, Novo Nordisk, IPSEN, and Merck Serono. He has received reimbursement of travel expenses from IPSEN and lecture honoraria from Pfizer.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank colleagues, patients and their families for participating in trials on craniopharyngioma. </p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gurney</surname> <given-names>JG</given-names>
</name>
<name>
<surname>Kadan-Lottick</surname> <given-names>NS</given-names>
</name>
<name>
<surname>Packer</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Neglia</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Sklar</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Punyko</surname> <given-names>JA</given-names>
</name>
<etal/>
</person-group>. <article-title>Endocrine and Cardiovascular Late Effects Among Adult Survivors of Childhood Brain Tumors: Childhood Cancer Survivor Study</article-title>. <source>Cancer</source> (<year>2003</year>) <volume>97</volume>:<page-range>663&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.11095</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heikens</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ubbink</surname> <given-names>MC</given-names>
</name>
<name>
<surname>van der Pal</surname> <given-names>HP</given-names>
</name>
<name>
<surname>Bakker</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Fliers</surname> <given-names>E</given-names>
</name>
<name>
<surname>Smilde</surname> <given-names>TJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Long Term Survivors of Childhood Brain Cancer Have an Increased Risk for Cardiovascular Disease</article-title>. <source>Cancer</source> (<year>2000</year>) <volume>88</volume>:<page-range>2116&#x2013;21</page-range>. doi: <pub-id pub-id-type="doi">10.1002/(SICI)1097-0142(20000501)88:9&lt;2116::AID-CNCR18&gt;3.0.CO;2-U</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Holmqvist</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Olsen</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Andersen</surname> <given-names>KK</given-names>
</name>
<name>
<surname>de Fine Licht</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hjorth</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Adult Life After Childhood Cancer in Scandinavia: Diabetes Mellitus Following Treatment for Cancer in Childhood</article-title>. <source>Eur J Cancer</source> (<year>2014</year>) <volume>50</volume>:<page-range>1169&#x2013;75</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejca.2014.01.014</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meacham</surname> <given-names>LR</given-names>
</name>
<name>
<surname>Sklar</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Li</surname> <given-names>S</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Gimpel</surname> <given-names>N</given-names>
</name>
<name>
<surname>Yasui</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Diabetes Mellitus in Long-Term Survivors of Childhood Cancer. Increased Risk Associated With Radiation Therapy: A Report for the Childhood Cancer Survivor Study</article-title>. <source>Arch Internal Med</source> (<year>2009</year>) <volume>169</volume>:<page-range>1381&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/archinternmed.2009.209</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Poirier</surname> <given-names>P</given-names>
</name>
<name>
<surname>Giles</surname> <given-names>TD</given-names>
</name>
<name>
<surname>Bray</surname> <given-names>GA</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Stern</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Pi-Sunyer</surname> <given-names>FX</given-names>
</name>
<etal/>
</person-group>. <article-title>Obesity and Cardiovascular Disease: Pathophysiology, Evaluation, and Effect of Weight Loss</article-title>. <source>Arteriosclerosis Thrombosis Vasc Biol</source> (<year>2006</year>) <volume>26</volume>:<page-range>968&#x2013;76</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/01.ATV.0000216787.85457.f3</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nathan</surname> <given-names>PC</given-names>
</name>
<name>
<surname>Jovcevsk</surname> <given-names>V</given-names>
</name>
<name>
<surname>Ness</surname> <given-names>KK</given-names>
</name>
<name>
<surname>Mammone D'Agostino</surname> <given-names>N</given-names>
</name>
<name>
<surname>Staneland</surname> <given-names>P</given-names>
</name>
<name>
<surname>Urbach</surname> <given-names>SL</given-names>
</name>
<etal/>
</person-group>. <article-title>The Prevalence of Overweight and Obesity in Pediatric Survivors of Cancer</article-title>. <source>J Pediatr</source> (<year>2006</year>) <volume>149</volume>:<page-range>518&#x2013;25</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jpeds.2006.06.039</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meacham</surname> <given-names>LR</given-names>
</name>
<name>
<surname>Gurney</surname> <given-names>JG</given-names>
</name>
<name>
<surname>Mertens</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Ness</surname> <given-names>KK</given-names>
</name>
<name>
<surname>Sklar</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Robison</surname> <given-names>LL</given-names>
</name>
<etal/>
</person-group>. <article-title>Body Mass Index in Long-Term Adult Survivors of Childhood Cancer: A Report of the Childhood Cancer Survivor Study</article-title>. <source>Cancer</source> (<year>2005</year>) <volume>103</volume>:<page-range>1730&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.20960</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lara-Pompa</surname> <given-names>NE</given-names>
</name>
<name>
<surname>Hill</surname> <given-names>S</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>J</given-names>
</name>
<name>
<surname>Macdonald</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fawbert</surname> <given-names>K</given-names>
</name>
<name>
<surname>Valente</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Use of Standardized Body Composition Measurements and Malnutrition Screening Tools to Detect Malnutrition Risk and Predict Clinical Outcomes in Children With Chronic Conditions</article-title>. <source>Am J Clin Nutr</source> (<year>2020</year>) <volume>112</volume>:<page-range>1456&#x2013;67</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ajcn/nqaa142</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Braun</surname> <given-names>W</given-names>
</name>
<name>
<surname>Pourhassan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Geisler</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bosy-Westphal</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Application of Standards and Models in Body Composition Analysis</article-title>. <source>Proc Nutr Soc</source> (<year>2016</year>) <volume>75</volume>:<page-range>181&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1017/S0029665115004206</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Craniopharyngioma</article-title>. <source>Endocrine Rev</source> (<year>2014</year>) <volume>35</volume>:<page-range>513&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/er.2013-1115</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
<name>
<surname>Merchant</surname> <given-names>TE</given-names>
</name>
<name>
<surname>Warmuth-Metz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Martinez-Barbera</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Puget</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Craniopharyngioma</article-title>. <source>Nat Rev Dis Primers</source> (<year>2019</year>) <volume>5</volume>:<fpage>75</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41572-019-0125-9</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>MANAGEMENT OF ENDOCRINE DISEASE: Childhood-Onset Craniopharyngioma: State of the Art of Care in 2018</article-title>. <source>Eur J Endocrinol</source> (<year>2019</year>) <volume>180</volume>(<issue>4</issue>):<page-range>R159&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1530/EJE-18-1021</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sterkenburg</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gebhardt</surname> <given-names>U</given-names>
</name>
<name>
<surname>Warmuth-Metz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Daubenb&#xfc;chel</surname> <given-names>AM</given-names>
</name>
<name>
<surname>M&#xfc;ller</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Survival, Hypothalamic Obesity, and Neuropsychological/Psychosocial Status After Childhood-Onset Craniopharyngioma: Newly Reported Long-Term Outcomes</article-title>. <source>Neuro-oncology</source> (<year>2015</year>) <volume>17</volume>:<page-range>1029&#x2013;38</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/neuonc/nov044</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Consequences of Craniopharyngioma Surgery in Children</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2011</year>) <volume>96</volume>:<page-range>1981&#x2013;91</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2011-0174</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hoffmann</surname> <given-names>A</given-names>
</name>
<name>
<surname>Postma</surname> <given-names>FP</given-names>
</name>
<name>
<surname>Sterkenburg</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Gebhardt</surname> <given-names>U</given-names>
</name>
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Eating Behavior, Weight Problems and Eating Disorders in 101 Long-Term Survivors of Childhood-Onset Craniopharyngioma</article-title>. <source>J Pediatr Endocrinol Metabol: JPEM</source> (<year>2015</year>) <volume>28</volume>:<fpage>35</fpage>&#x2013;<lpage>43</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1515/jpem-2014-0415</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cohen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bartels</surname> <given-names>U</given-names>
</name>
<name>
<surname>Branson</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kulkarni</surname> <given-names>AV</given-names>
</name>
<name>
<surname>Hamilton</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Trends in Treatment and Outcomes of Pediatric Craniopharyngioma, 1975-2011</article-title>. <source>Neuro-oncology</source> (<year>2013</year>) <volume>15</volume>:<page-range>767&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/neuonc/not026</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Erfurth</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Holmer</surname> <given-names>H</given-names>
</name>
<name>
<surname>Fjalldal</surname> <given-names>SB</given-names>
</name>
</person-group>. <article-title>Mortality and Morbidity in Adult Craniopharyngioma</article-title>. <source>Pituitary</source> (<year>2013</year>) <volume>16</volume>:<fpage>46</fpage>&#x2013;<lpage>55</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11102-012-0428-2</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
</person-group>. <article-title>Craniopharyngioma and Hypothalamic Injury: Latest Insights Into Consequent Eating Disorders and Obesity</article-title>. <source>Curr Opin Endocrinol Diabetes Obes</source> (<year>2016</year>) <volume>23</volume>:<page-range>81&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/MED.0000000000000214</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goodpaster</surname> <given-names>BH</given-names>
</name>
<etal/>
</person-group>. <article-title>Obesity, Regional Body Fat Distribution, and the Metabolic Syndrome in Older Men and Women</article-title>. <source>Arch Internal Med</source> (<year>2005</year>) <volume>165</volume>:<page-range>777&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/archinte.165.7.777</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ding</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kritchevsky</surname> <given-names>SB</given-names>
</name>
<name>
<surname>Hsu</surname> <given-names>FC</given-names>
</name>
<name>
<surname>Harris</surname> <given-names>TB</given-names>
</name>
<name>
<surname>Burke</surname> <given-names>GL</given-names>
</name>
<name>
<surname>Detrano</surname> <given-names>RC</given-names>
</name>
<etal/>
</person-group>. <article-title>Association Between Non-Subcutaneous Adiposity and Calcified Coronary Plaque: A Substudy of the Multi-Ethnic Study of Atherosclerosis</article-title>. <source>Am J Clin Nutr</source> (<year>2008</year>) <volume>88</volume>:<page-range>645&#x2013;50</page-range>. doi: <pub-id pub-id-type="doi">10.1093/ajcn/88.3.645</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fox</surname> <given-names>CS</given-names>
</name>
<name>
<surname>Massaro</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>U</given-names>
</name>
<name>
<surname>Pou</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Maurovich-Horvat</surname> <given-names>P</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>CY</given-names>
</name>
<etal/>
</person-group>. <article-title>Abdominal Visceral and Subcutaneous Adipose Tissue Compartments: Association With Metabolic Risk Factors in the Framingham Heart Study</article-title>. <source>Circulation</source> (<year>2007</year>) <volume>116</volume>:<fpage>39</fpage>&#x2013;<lpage>48</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.106.675355</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nielsen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Johnson</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Hensrud</surname> <given-names>DD</given-names>
</name>
<name>
<surname>Jensen</surname> <given-names>MD</given-names>
</name>
</person-group>. <article-title>Splanchnic Lipolysis in Human Obesity</article-title>. <source>J Clin Invest</source> (<year>2004</year>) <volume>113</volume>:<page-range>1582&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI21047</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Preis</surname> <given-names>SR</given-names>
</name>
<name>
<surname>Massaro</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>U</given-names>
</name>
<name>
<surname>D'Agostino</surname> <given-names>RB</given-names> <suffix>Sr</suffix>
</name>
<name>
<surname>Levy</surname> <given-names>D</given-names>
</name>
<name>
<surname>Robins</surname> <given-names>SJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Neck Circumference as a Novel Measure of Cardiometabolic Risk: The Framingham Heart Study</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2010</year>) <volume>95</volume>:<page-range>3701&#x2013;10</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2009-1779</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ben-Noun</surname> <given-names>L</given-names>
</name>
<name>
<surname>Laor</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Relationship of Neck Circumference to Cardiovascular Risk Factors</article-title>. <source>Obes Res</source> (<year>2003</year>) <volume>11</volume>:<page-range>226&#x2013;31</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/oby.2003.35</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ben-Noun</surname> <given-names>LL</given-names>
</name>
<name>
<surname>Laor</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Relationship Between Changes in Neck Circumference and Cardiovascular Risk Factors</article-title>. <source>Exp Clin Cardiol</source> (<year>2006</year>) <volume>11</volume>:<fpage>14</fpage>&#x2013;<lpage>20</lpage>.</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Laakso</surname> <given-names>M</given-names>
</name>
<name>
<surname>Matilainen</surname> <given-names>V</given-names>
</name>
<name>
<surname>Keinanen-Kiukaanniemi</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Association of Neck Circumference With Insulin Resistance-Related Factors</article-title>. <source>Int J Obes Related Metab Disorders: J Int Assoc Study Obes</source> (<year>2002</year>) <volume>26</volume>:<page-range>873&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.ijo.0802002</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sterkenburg</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>A</given-names>
</name>
<name>
<surname>Reichel</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lohle</surname> <given-names>K</given-names>
</name>
<name>
<surname>Eveslage</surname> <given-names>M</given-names>
</name>
<name>
<surname>Warmuth-Metz</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Nuchal Skinfold Thickness: A Novel Parameter for Assessment of Body Composition in Childhood Craniopharyngioma</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2016</year>) <volume>101</volume>:<page-range>4922&#x2013;30</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2016-2547</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
<name>
<surname>Bueb</surname> <given-names>K</given-names>
</name>
<name>
<surname>Bartels</surname> <given-names>U</given-names>
</name>
<name>
<surname>Roth</surname> <given-names>C</given-names>
</name>
<name>
<surname>Harz</surname> <given-names>K</given-names>
</name>
<name>
<surname>Graf</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Obesity After Childhood Craniopharyngioma&#x2013;German Multicenter Study on Pre-Operative Risk Factors and Quality of Life</article-title>. <source>Klinische Padiatrie</source> (<year>2001</year>) <volume>213</volume>:<page-range>244&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1055/s-2001-16855</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="book">
<person-group person-group-type="author">
<collab>WHO Classification of Tumours Editorial Board</collab>
</person-group>. <article-title>Central Nervous System Tumours (Internet)</article-title>. In: <source>WHO Classification of Tumours Series</source>, <edition>5th ed</edition>, vol. <volume>6</volume>. <publisher-loc>Lyon (France</publisher-loc>: <publisher-name>International Agency for Research on Cancer</publisher-name> (<year>2021</year>). Available at: <uri xlink:href="https://tumourclassification.iarc.who.int/chapters/45">https://tumourclassification.iarc.who.int/chapters/45</uri>.</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
<name>
<surname>Gebhardt</surname> <given-names>U</given-names>
</name>
<name>
<surname>Teske</surname> <given-names>C</given-names>
</name>
<name>
<surname>Faldum</surname> <given-names>A</given-names>
</name>
<name>
<surname>Zwiener</surname> <given-names>I</given-names>
</name>
<name>
<surname>Warmuth-Metz</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Post-Operative Hypothalamic Lesions and Obesity in Childhood Craniopharyngioma: Results of the Multinational Prospective Trial KRANIOPHARYNGEOM 2000 After 3-Year Follow-Up</article-title>. <source>Eur J Endocrinol/European Fed Endocrine Soc</source> (<year>2011</year>) <volume>165</volume>:<fpage>17</fpage>&#x2013;<lpage>24</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1530/EJE-11-0158</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname> <given-names>HL</given-names>
</name>
<name>
<surname>Gebhardt</surname> <given-names>U</given-names>
</name>
<name>
<surname>Faldum</surname> <given-names>A</given-names>
</name>
<name>
<surname>Warmuth-Metz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Pietsch</surname> <given-names>T</given-names>
</name>
<name>
<surname>Pohl</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Xanthogranuloma, Rathke&#x2019;s Cyst, and Childhood Craniopharyngioma: Results of Prospective Multinational Studies of Children and Adolescents With Rare Sellar Malformations</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2012</year>) <volume>97</volume>:<page-range>3935&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/jc.2012-2069</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rolland-Cachera</surname> <given-names>MF</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Semp&#xe9;</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tichet</surname> <given-names>J</given-names>
</name>
<name>
<surname>Rossignol</surname> <given-names>C</given-names>
</name>
<name>
<surname>Charraud</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Body Mass Index Variations: Centiles From Birth to 87 Years</article-title>. <source>Eur J Clin Nutr</source> (<year>1991</year>) <volume>45</volume>:<fpage>13</fpage>&#x2013;<lpage>21</lpage>.</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Prader</surname> <given-names>A</given-names>
</name>
<name>
<surname>Largo</surname> <given-names>RH</given-names>
</name>
<name>
<surname>Molinari</surname> <given-names>L</given-names>
</name>
<name>
<surname>Issler</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Physical Growth of Swiss Children From Birth to 20 Years of Age. First Zurich Longitudinal Study of Growth and Development</article-title>. <source>Helv Paediatrica Acta</source> (<year>1989</year>) <volume>Supplementum 52</volume>:<fpage>1</fpage>&#x2013;<lpage>125</lpage>.</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kromeyer-Hauschild</surname> <given-names>K</given-names>
</name>
<name>
<surname>Neuhauser</surname> <given-names>H</given-names>
</name>
<name>
<surname>Schaffrath Rosario</surname> <given-names>A</given-names>
</name>
<name>
<surname>Schienkiewitz</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Abdominal Obesity in German Adolescents Defined by Waist-to-Height Ratio and Its Association to Elevated Blood Pressure: The KiGGS Study</article-title>. <source>Obes Facts</source> (<year>2013</year>) <volume>6</volume>:<page-range>165&#x2013;75</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000351066</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berenson</surname> <given-names>GS</given-names>
</name>
</person-group>. <article-title>Health Consequences of Obesity</article-title>. <source>Pediatr Blood Cancer</source> (<year>2012</year>) <volume>58</volume>:<page-range>117&#x2013;21</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pbc.23373</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baker</surname> <given-names>JL</given-names>
</name>
<name>
<surname>Olsen</surname> <given-names>LW</given-names>
</name>
<name>
<surname>Sorensen</surname> <given-names>TI</given-names>
</name>
</person-group>. <article-title>Childhood Body-Mass Index and the Risk of Coronary Heart Disease in Adulthood</article-title>. <source>N Engl J Med</source> (<year>2007</year>) <volume>357</volume>:<page-range>2329&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa072515</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Okorodudu</surname> <given-names>DO</given-names>
</name>
<name>
<surname>Jumean</surname> <given-names>MF</given-names>
</name>
<name>
<surname>Montori</surname> <given-names>VM</given-names>
</name>
<name>
<surname>Romero-Corral</surname> <given-names>A</given-names>
</name>
<name>
<surname>Somers</surname> <given-names>VK</given-names>
</name>
<name>
<surname>Erwin</surname> <given-names>PJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnostic Performance of Body Mass Index to Identify Obesity as Defined by Body Adiposity: A Systematic Review and Meta-Analysis</article-title>. <source>Int J Obes (Lond)</source> (<year>2010</year>) <volume>34</volume>:<page-range>791&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ijo.2010.5</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Must</surname> <given-names>A</given-names>
</name>
<name>
<surname>Jacques</surname> <given-names>PF</given-names>
</name>
<name>
<surname>Dallal</surname> <given-names>GE</given-names>
</name>
<name>
<surname>Bajema</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Dietz</surname> <given-names>WH</given-names>
</name>
</person-group>. <article-title>Long-Term Morbidity and Mortality of Overweight Adolescents. A Follow-Up of the Harvard Growth Study of 1922 to 1935</article-title>. <source>N Engl J Med</source> (<year>1992</year>) <volume>327</volume>:<page-range>1350&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJM199211053271904</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Matsuzawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Shimomura</surname> <given-names>I</given-names>
</name>
<name>
<surname>Nakamura</surname> <given-names>T</given-names>
</name>
<name>
<surname>Keno</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tokunaga</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Pathophysiology and Pathogenesis of Visceral Fat Obesity</article-title>. <source>Diabetes Res Clin Pract</source> (<year>1994</year>) <volume>24</volume>(<supplement>Suppl</supplement>):<page-range>S111&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1016/0168-8227(94)90236-4</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Neamat-Allah</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wald</surname> <given-names>D</given-names>
</name>
<name>
<surname>H&#xfc;sing</surname> <given-names>A</given-names>
</name>
<name>
<surname>Teucher</surname> <given-names>B</given-names>
</name>
<name>
<surname>Wendt</surname> <given-names>A</given-names>
</name>
<name>
<surname>Delorme</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Validation of Anthropometric Indices of Adiposity Against Whole-Body Magnetic Resonance Imaging&#x2013;A Study Within the German European Prospective Investigation Into Cancer and Nutrition (EPIC) Cohorts</article-title>. <source>PloS One</source> (<year>2014</year>) <volume>9</volume>:<fpage>e91586</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0091586</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brambilla</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bedogni</surname> <given-names>G</given-names>
</name>
<name>
<surname>Moreno</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Goran</surname> <given-names>MI</given-names>
</name>
<name>
<surname>Gutin</surname> <given-names>B</given-names>
</name>
<name>
<surname>Fox</surname> <given-names>KR</given-names>
</name>
<etal/>
</person-group>. <article-title>Crossvalidation of Anthropometry Against Magnetic Resonance Imaging for the Assessment of Visceral and Subcutaneous Adipose Tissue in Children</article-title>. <source>Int J Obes (Lond)</source> (<year>2006</year>) <volume>30</volume>:<fpage>23</fpage>&#x2013;<lpage>30</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.ijo.0803163</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Koren</surname> <given-names>D</given-names>
</name>
<name>
<surname>Marcus</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gallagher</surname> <given-names>PR</given-names>
</name>
<name>
<surname>Schwab</surname> <given-names>R</given-names>
</name>
<name>
<surname>Bradford</surname> <given-names>RM</given-names>
</name>
<etal/>
</person-group>. <article-title>Anthropometric Predictors of Visceral Adiposity in Normal-Weight and Obese Adolescents</article-title>. <source>Pediatr Diabetes</source> (<year>2013</year>) <volume>14</volume>:<page-range>575&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/pedi.12042</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kleiser</surname> <given-names>C</given-names>
</name>
<name>
<surname>Schienkiewitz</surname> <given-names>A</given-names>
</name>
<name>
<surname>Schaffrath Rosario</surname> <given-names>A</given-names>
</name>
<name>
<surname>Prinz-Langenohl</surname> <given-names>R</given-names>
</name>
<name>
<surname>Scheidt-Nave</surname> <given-names>C</given-names>
</name>
<name>
<surname>Mensink</surname> <given-names>GB</given-names>
</name>
</person-group>. <article-title>Indicators of Overweight and Cardiovascular Disease Risk Factors Among 11- to 17-Year-Old Boys and Girls in Germany</article-title>. <source>Obes Facts</source> (<year>2011</year>) <volume>4</volume>:<page-range>379&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000333428</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Savva</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Lamnisos</surname> <given-names>D</given-names>
</name>
<name>
<surname>Kafatos</surname> <given-names>AG</given-names>
</name>
</person-group>. <article-title>Predicting Cardiometabolic Risk: Waist-to-Height Ratio or BMI. A Meta-Analysis</article-title>. <source>Diabetes Metab Syndrome Obesity: Targets Ther</source> (<year>2013</year>) <volume>6</volume>:<page-range>403&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/DMSO.S34220</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Savva</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Tornaritis</surname> <given-names>M</given-names>
</name>
<name>
<surname>Savva</surname> <given-names>ME</given-names>
</name>
<name>
<surname>Kourides</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Panagi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Silikiotou</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Waist Circumference and Waist-to-Height Ratio are Better Predictors of Cardiovascular Disease Risk Factors in Children Than Body Mass Index</article-title>. <source>Int J Obes Related Metab Disord</source> (<year>2000</year>) <volume>24</volume>:<page-range>1453&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1038/sj.ijo.0801401</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hsieh</surname> <given-names>SD</given-names>
</name>
<name>
<surname>Yoshinaga</surname> <given-names>H</given-names>
</name>
<name>
<surname>Muto</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Waist-To-Height Ratio, a Simple and Practical Index for Assessing Central Fat Distribution and Metabolic Risk in Japanese Men and Women</article-title>. <source>Int J Obes Related Metab Disord</source> (<year>2003</year>) <volume>27</volume>:<page-range>610&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.ijo.0802259</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McCarthy</surname> <given-names>HD</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Fry</surname> <given-names>T</given-names>
</name>
<name>
<surname>Jebb</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Prentice</surname> <given-names>AM</given-names>
</name>
</person-group>. <article-title>Body Fat Reference Curves for Children</article-title>. <source>Int J Obes (Lond)</source> (<year>2006</year>) <volume>30</volume>:<fpage>598</fpage>&#x2013;<lpage>602</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.ijo.0803232</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weili</surname> <given-names>Y</given-names>
</name>
<name>
<surname>He</surname> <given-names>B</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>H</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ge</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Waist-to-Height Ratio Is an Accurate and Easier Index for Evaluating Obesity in Children and Adolescents</article-title>. <source>Obes (Silver Spring)</source> (<year>2007</year>) <volume>15</volume>:<page-range>748&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/oby.2007.601</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aeberli</surname> <given-names>I</given-names>
</name>
<name>
<surname>Gut-Knabenhans</surname> <given-names>I</given-names>
</name>
<name>
<surname>Kusche-Ammann</surname> <given-names>RS</given-names>
</name>
<name>
<surname>Molinari</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zimmermann</surname> <given-names>MB</given-names>
</name>
</person-group>. <article-title>Waist Circumference and Waist-to-Height Ratio Percentiles in a Nationally Representative Sample of 6-13 Year Old Children in Switzerland</article-title>. <source>Swiss Med Weekly</source> (<year>2011</year>) <volume>141</volume>:<fpage>w13227</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.4414/smw.2011.13227</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>da Silva Cde</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zambon</surname> <given-names>MP</given-names>
</name>
<name>
<surname>Vasques</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Rodrigues</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Camilo</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Antonio</surname> <given-names>M&#xc2;</given-names>
</name>
<etal/>
</person-group>. <article-title>Neck Circumference as a New Anthropometric Indicator for Prediction of Insulin Resistance and Components of Metabolic Syndrome in Adolescents: Brazilian Metabolic Syndrome Study</article-title>. <source>Rev Paulista Pediatria</source> (<year>2014</year>) <volume>32</volume>:<page-range>221&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1590/0103-0582201432210713</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>